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临床试验中的无效性监测

Futility Monitoring in Clinical Trials.

作者信息

Ortega-Villa Ana M, Grieco Megan C, Rubenstein Kevin, Wang Jing, Proschan Michael A

机构信息

Office of Biostatistics Research, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA.

Axle Informatics, Bethesda, Maryland, USA.

出版信息

Stat Med. 2025 Jun;44(13-14):e70157. doi: 10.1002/sim.70157.

Abstract

At the beginning of a phase III clinical trial, there is great optimism. After all, the phase II trial results were encouraging. Then, early data from the phase III trial trend in the wrong way, but there is still an opportunity for the trend to reverse and become statistically significant by the end. At what point does optimism become denial of reality? How do we decide when a clinical trial is futile? What does futility even mean? This tutorial reviews different concepts and tools for evaluating futility, including conditional and predictive power, reverse conditional power, predicted interval plots, revised unconditional power, and beta spending functions.

摘要

在一项三期临床试验开始时,人们满怀乐观。毕竟,二期试验结果令人鼓舞。然后,三期试验的早期数据趋势朝着不利方向发展,但仍有机会让趋势逆转并在最后变得具有统计学意义。乐观情绪在何时会变成对现实的否认?我们如何确定一项临床试验是徒劳无功的?徒劳到底意味着什么?本教程回顾了评估徒劳的不同概念和工具,包括条件检验效能和预测检验效能、反向条件检验效能、预测区间图、修正的无条件检验效能以及β消耗函数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ed/12153251/b857c726cdca/SIM-44-0-g004.jpg

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